Evidence map›Paper›PMID 34635298›Full record

ReviewRheumatic diseases clinics of North America2021

Updates on Juvenile Dermatomyositis from the Last Decade: Classification to Outcomes.

Hanna Kim, Adam M Huber, Susan Kim

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Rheumatic diseases clinics of North America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Hanna KimJuvenile Myositis Pathogenesis and Therapeutics Unit, National Institute of Arthritis Musculoskeletal and Skin Diseases, National Institutes of Health, 10 Center Drive, Building 10, 12N-240, Bethesda, MD 20892, USA. Electronic address: Hanna.kim@nih.gov.
Adam M HuberIWK Health Centre and Dalhousie University, Division of Pediatric Rheumatology, 5850 University Avenue, Halifax, Nova Scotia B3K 6R8, Canada.
Susan KimUniversity of California, San Francisco, 550 16th Street, San Francisco, CA 94158, USA.
Dalhousie University · CANational Institute of Arthritis and Musculoskeletal and Skin Diseases · USUniversity of California, San Francisco · US

Funding

Juvenile Myositis Pathogenesis and Translational MedicineZIAAR041215 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI KIM, HANNA · 2021 to 2025
$3.3M
Intramural NIH HHS ZIA AR041215
6 · The paper itself

Abstract

Juvenile dermatomyositis (JDM) is a heterogeneous disease with new classification criteria and updates in myositis-specific autoantibody and myositis-associated antibody groups. There are many validated assessment tools for assessing disease activity in JDM. Future studies will optimize these tools and improve feasibility in clinical and research contexts. Genetic and environmental risk factors, mechanisms of muscle pathology, role of interferon, vascular markers, and changes in immune cells provide insights to JDM pathogenesis. Outcomes have improved, but chronic disease, damage, and mortality highlight the need for better outcome predictors and treatments. Increased collaboration of stakeholders may help overcome research barriers and improve JDM treatment.

Indexed as

DermatomyositisMyositisAutoantibodiesBiomarkersHumansInterferonsAutoantibodiesBiomarkersInterferonsBiologic therapiesJuvenile dermatomyositis (JDM)Juvenile myositis (JM)Myositis-specific autoantibodies (MSA)OutcomesPathogenesisTreatment

Identifiers

PMID34635298
PMCPMC9725116
OpenAlexW3196974750

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.